Package Recipe 'bioconductor-msstatsbionet'

recipe bioconductor-msstatsbionet

Network Analysis for MS-based Proteomics Experiments

Homepage:: https://bioconductor.org/packages/3.22/bioc/html/MSstatsBioNet.html
License:: file LICENSE
Recipe:: /bioconductor-msstatsbionet/meta.yaml

A set of tools for network analysis using mass spectrometry-based proteomics data and network databases. The package takes as input the output of MSstats differential abundance analysis and provides functions to perform enrichment analysis and visualization in the context of prior knowledge from past literature. Notably, this package integrates with INDRA, which is a database of biological networks extracted from the literature using text mining techniques.

package bioconductor-msstatsbionet¶

Versions:

1.2.0-0

Depends:

on bioconductor-msstats >=4.18.0,<4.19.0
on bioconductor-rcy3 >=2.30.0,<2.31.0
on r-base >=4.5,<4.6.0a0
on r-httr
on r-jsonlite
on r-r2r
on r-tidyr

Additional platforms:

Installation¶

You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).

Pixi¶

With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:

pixi global install bioconductor-msstatsbionet

to add into an existing workspace instead, run:

pixi add bioconductor-msstatsbionet

In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:

pixi workspace channel add conda-forge
pixi workspace channel add bioconda

Conda¶

With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:

conda install bioconductor-msstatsbionet

Alternatively, to install into a new environment, run:

conda create -n envname bioconductor-msstatsbionet

with envname being the name of the desired environment.

Container¶

Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:

docker pull quay.io/biocontainers/bioconductor-msstatsbionet:<tag>

(see bioconductor-msstatsbionet/tags for valid values for <tag>).

Integrated deployment¶

Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.

Download stats¶

Link to this page¶

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-msstatsbionet/README.html)